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EVs Are a Failed Experiment

https://spectator.org/evs-are-a-failed-experiment/
1•ArtemZ•2m ago•0 comments

MemAlign: Building Better LLM Judges from Human Feedback with Scalable Memory

https://www.databricks.com/blog/memalign-building-better-llm-judges-human-feedback-scalable-memory
1•superchink•3m ago•0 comments

CCC (Claude's C Compiler) on Compiler Explorer

https://godbolt.org/z/asjc13sa6
1•LiamPowell•5m ago•0 comments

Homeland Security Spying on Reddit Users

https://www.kenklippenstein.com/p/homeland-security-spies-on-reddit
2•duxup•8m ago•0 comments

Actors with Tokio (2021)

https://ryhl.io/blog/actors-with-tokio/
1•vinhnx•9m ago•0 comments

Can graph neural networks for biology realistically run on edge devices?

https://doi.org/10.21203/rs.3.rs-8645211/v1
1•swapinvidya•21m ago•1 comments

Deeper into the shareing of one air conditioner for 2 rooms

1•ozzysnaps•23m ago•0 comments

Weatherman introduces fruit-based authentication system to combat deep fakes

https://www.youtube.com/watch?v=5HVbZwJ9gPE
2•savrajsingh•24m ago•0 comments

Why Embedded Models Must Hallucinate: A Boundary Theory (RCC)

http://www.effacermonexistence.com/rcc-hn-1-1
1•formerOpenAI•26m ago•2 comments

A Curated List of ML System Design Case Studies

https://github.com/Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies
3•tejonutella•30m ago•0 comments

Pony Alpha: New free 200K context model for coding, reasoning and roleplay

https://ponyalpha.pro
1•qzcanoe•34m ago•1 comments

Show HN: Tunbot – Discord bot for temporary Cloudflare tunnels behind CGNAT

https://github.com/Goofygiraffe06/tunbot
1•g1raffe•36m ago•0 comments

Open Problems in Mechanistic Interpretability

https://arxiv.org/abs/2501.16496
2•vinhnx•42m ago•0 comments

Bye Bye Humanity: The Potential AMOC Collapse

https://thatjoescott.com/2026/02/03/bye-bye-humanity-the-potential-amoc-collapse/
2•rolph•46m ago•0 comments

Dexter: Claude-Code-Style Agent for Financial Statements and Valuation

https://github.com/virattt/dexter
1•Lwrless•48m ago•0 comments

Digital Iris [video]

https://www.youtube.com/watch?v=Kg_2MAgS_pE
1•vermilingua•53m ago•0 comments

Essential CDN: The CDN that lets you do more than JavaScript

https://essentialcdn.fluidity.workers.dev/
1•telui•54m ago•1 comments

They Hijacked Our Tech [video]

https://www.youtube.com/watch?v=-nJM5HvnT5k
1•cedel2k1•58m ago•0 comments

Vouch

https://twitter.com/mitchellh/status/2020252149117313349
34•chwtutha•58m ago•6 comments

HRL Labs in Malibu laying off 1/3 of their workforce

https://www.dailynews.com/2026/02/06/hrl-labs-cuts-376-jobs-in-malibu-after-losing-government-work/
4•osnium123•58m ago•1 comments

Show HN: High-performance bidirectional list for React, React Native, and Vue

https://suhaotian.github.io/broad-infinite-list/
2•jeremy_su•1h ago•0 comments

Show HN: I built a Mac screen recorder Recap.Studio

https://recap.studio/
1•fx31xo•1h ago•1 comments

Ask HN: Codex 5.3 broke toolcalls? Opus 4.6 ignores instructions?

1•kachapopopow•1h ago•0 comments

Vectors and HNSW for Dummies

https://anvitra.ai/blog/vectors-and-hnsw/
1•melvinodsa•1h ago•0 comments

Sanskrit AI beats CleanRL SOTA by 125%

https://huggingface.co/ParamTatva/sanskrit-ppo-hopper-v5/blob/main/docs/blog.md
1•prabhatkr•1h ago•1 comments

'Washington Post' CEO resigns after going AWOL during job cuts

https://www.npr.org/2026/02/07/nx-s1-5705413/washington-post-ceo-resigns-will-lewis
4•thread_id•1h ago•1 comments

Claude Opus 4.6 Fast Mode: 2.5× faster, ~6× more expensive

https://twitter.com/claudeai/status/2020207322124132504
1•geeknews•1h ago•0 comments

TSMC to produce 3-nanometer chips in Japan

https://www3.nhk.or.jp/nhkworld/en/news/20260205_B4/
3•cwwc•1h ago•0 comments

Quantization-Aware Distillation

http://ternarysearch.blogspot.com/2026/02/quantization-aware-distillation.html
2•paladin314159•1h ago•0 comments

List of Musical Genres

https://en.wikipedia.org/wiki/List_of_music_genres_and_styles
1•omosubi•1h ago•0 comments
Open in hackernews

Show HN: AAIP – A standard protocol for AI agent authorization

https://github.com/krisdiallo/aaip-spec
2•kdiallo2•5mo ago
I was building an AI sales agent and hit same wall again. I was building a custom rule engine to determine how the agent should act.

Started thinking about how you could give AI agents safe and bounded permissions to act independently across multiple services without littering your code base with a bunch of conditionals?

I've repeatedly built these constraint systems before, it's always rate limiters in the email tool, domain filters in the CRM, spend limits in the payment processor. Every time, I (and others) end up solving the same auth/constraint problems independently.

So I built what I'm calling AAIP: The AI Agent Identity Protocol. It's a stateless standard for creating cryptographically signed delegations for AI agents.

With this, you can just create a "delegation". This serves as a signed permission slip, that specifies exactly what an agent can do, for how long, and with what constraints

{ "aaip_version": "1.0", "delegation": { "id": "del_01H8QK9J2M3N4P5Q6R7S8T9V0W", "issuer": { "id": "user@example.com", "type": "oauth", "public_key": "public-key" }, "subject": { "id": "outbound_agent_v1", "type": "custom" }, "scope": ["email:send", "crm:read", "prospects:research"], "constraints": { "max_amount": {"value": 50, "unit": "email"}, "blocked_domains": ["competitor1.com", "competitor2.com"], "time_window": { "start": "2025-07-24T09:00:00Z", "end": "2025-07-24T17:00:00Z" } }, "expires_at": "2025-08-30T23:59:59Z", "not_before": "2025-07-24T00:00:00Z" }, "signature": "ed25519-signature-hex" }

Technical approach: - Ed25519 signatures for cryptographic verification - Self-contained delegations (no external key lookups) - Time-bounded with automatic expiration - Hierarchical scope system with wildcard support - Standard constraints: spending limits, time windows, domain filtering

Full spec and reference implementation -> github dot com slash krisdiallo slash aaip-spec

This feels like where OAuth was in the early web, everyone solving auth differently until a standard emerged. What approaches are you taking? to building AI agent rails? to managing/updating existing constraints?